Analiza danych
Sanket Thodge
With the ongoing data explosion, more and more organizations all over the world are slowly migrating their infrastructure to the cloud. These cloud platforms also provide their distinct analytics services to help you get faster insights from your data. This book will give you an introduction to the concept of analytics on the cloud, and the different cloud services popularly used for processing and analyzing data. If you’re planning to adopt the cloud analytics model for your business, this book will help you understand the design and business considerations to be kept in mind, and choose the best tools and alternatives for analytics, based on your requirements. The chapters in this book will take you through the 70+ services available in Google Cloud Platform and their implementation for practical purposes. From ingestion to processing your data, this book contains best practices on building an end-to-end analytics pipeline on the cloud by leveraging popular concepts such as machine learning and deep learning.By the end of this book, you will have a better understanding of cloud analytics as a concept as well as a practical know-how of its implementation
Kathrin Melcher, Rosaria Silipo
KNIME Analytics Platform is an open source software used to create and design data science workflows. This book is a comprehensive guide to the KNIME GUI and KNIME deep learning integration, helping you build neural network models without writing any code. It’ll guide you in building simple and complex neural networks through practical and creative solutions for solving real-world data problems.Starting with an introduction to KNIME Analytics Platform, you’ll get an overview of simple feed-forward networks for solving simple classification problems on relatively small datasets. You’ll then move on to build, train, test, and deploy more complex networks, such as autoencoders, recurrent neural networks (RNNs), long short-term memory (LSTM), and convolutional neural networks (CNNs). In each chapter, depending on the network and use case, you’ll learn how to prepare data, encode incoming data, and apply best practices.By the end of this book, you’ll have learned how to design a variety of different neural architectures and will be able to train, test, and deploy the final network.
Cameron Dodd
The CompTIA Data+ certification exam not only helps validate a skill set required to enter one of the fastest-growing fields in the world, but also is starting to standardize the language and concepts within the field. However, there’s a lot of conflicting information and a lack of existing resources about the topics covered in this exam, and even professionals working in data analytics may need a study guide to help them pass on their first attempt.The CompTIA Data + (DAO-001) Certification Guide will give you a solid understanding of how to prepare, analyze, and report data for better insights.You’ll get an introduction to Data+ certification exam format to begin with, and then quickly dive into preparing data. You'll learn about collecting, cleaning, and processing data along with data wrangling and manipulation. As you progress, you’ll cover data analysis topics such as types of analysis, common techniques, hypothesis techniques, and statistical analysis, before tackling data reporting, common visualizations, and data governance. All the knowledge you've gained throughout the book will be tested with the mock tests that appear in the final chapters.By the end of this book, you’ll be ready to pass the Data+ exam with confidence and take the next step in your career.
Ian Neil
CompTIA Security+ is a core security certification that will validate your baseline skills for a career in cybersecurity. Passing this exam will not only help you identify security incidents but will also equip you to resolve them efficiently. This book builds on the popular CompTIA Security+ Certification Guide, which mirrors the SY0-501 exam pattern.This practice test-based guide covers all six domains of the Security+ SY0-501 exam: threats, attacks, and vulnerabilities; technologies and tools; architecture and design; identity and access management; cryptography and PKI; and risk management. You’ll take six mock tests designed as per the official Security+ certification exam pattern, each covering significant aspects from an examination point of view. For each domain, the book provides a dedicated cheat sheet that includes important concepts covered in the test. You can even time your tests to simulate the actual exam. These tests will help you identify gaps in your knowledge and discover answers to tricky exam questions.By the end of this book, you’ll have developed and enhanced the skills necessary to pass the official CompTIA Security+ exam.
Continuing Financial Modelling. Advanced Techniques and Insights for Modern Financial Modelling
MrExcel's Holy Macro! Books, Liam Bastick
This book provides a thorough exploration of advanced financial modeling techniques, designed to elevate the skills of finance professionals. Starting with a recap of essential concepts, it progresses into dynamic 'What-If?' analysis, advanced forecasting methods, and inventory modeling. The focus is on practical applications, ensuring readers can implement the techniques immediately.Topics such as capital expenditure, debt calculations, and valuation are covered in detail, including DCF and MIRR analysis. The book emphasizes accuracy and efficiency in financial models, offering insights into refining forecasts and linking complex models. With a focus on sensitivity analysis and scenario planning, readers gain tools to handle real-world financial challenges.The final chapters delve into advanced Excel functions like XLOOKUP, dynamic arrays, and scenario-building tools. Best practices for maintaining model accuracy, reducing file sizes, and creating professional models are thoroughly discussed. This guide equips readers with the expertise to manage complex financial modeling tasks confidently.
Alex Büchner
Moodle Workplace is a comprehensive extension to Standard Moodle, the world's most used learning management system (LMS) platform, empowering millions of learners worldwide. Moodle Workplace is suitable for businesses and organizations, from small enterprises to global corporations.Corporate Learning with Moodle Workplace is a comprehensive introduction to this latest product from Moodle, which facilitates collaborative learning in enterprises and larger teams. Complete with detailed descriptions, a variety of diagrams, and real working examples, this easy-to-follow guide will teach you everything you need to know to manage a Moodle Workplace system. You’ll learn how to manage your users along reporting lines and organize them in to tenants, organizations, positions, job assignments, and teams, before setting up typical HR processes such as induction, compliance, and reporting. Filled with real-world examples, the book covers blended and offline scenarios, including appointments and the Moodle Workplace mobile app.By the end of this Moodle book, you’ll have learned how to fully manage a Moodle Workplace instance.
Kedeisha Bryan, Taamir Ransome
Preparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.
Julian Villafuerte
QlikView is one of the most powerful analytical tools in the market. Based on an in-memory associative model, it lets users freely navigate through the data, spot trends and make better decisions. This platform is capable of integrating a wide range of data sources like ERP systems, data warehouses or spreadsheets into a single application in order display dashboards with state-of-the-art visualizations.Creating Stunning Dashboards with QlikView is an easy to follow handbook that guides you through the process of creating an effective and engaging dashboard that delivers tangible value to the business. It starts with the identification of the business needs and the definition of the main KPIs, and takes you all the way to the application rollout.Throughout the book, you will learn how to apply some of the best practices in the field of data visualization, create a robust navigation schema, chose the best chart types for each scenario and many other things that will help you create effective dashboards that uncover all the stories behind the data.